Prophage Hunter: an integrative hunting tool for active prophages

  • Wenchen Song
  • , Hai Xi Sun
  • , Carolyn Zhang
  • , Li Cheng
  • , Ye Peng
  • , Ziqing Deng
  • , Dan Wang
  • , Yun Wang
  • , Ming Hu
  • , Wenen Liu
  • , Huanming Yang
  • , Yue Shen
  • , Junhua Li
  • , Lingchong You
  • , Minfeng Xiao

Research output: Contribution to journalArticlepeer-review

179 Scopus citations

Abstract

Identifying active prophages is critical for studying coevolution of phage and bacteria, investigating phage physiology and biochemistry, and engineering designer phages for diverse applications. We present Prophage Hunter, a tool aimed at hunting for active prophages from whole genome assembly of bacteria. Combining sequence similarity-based matching and genetic features-based machine learning classification, we developed a novel scoring system that exhibits higher accuracy than current tools in predicting active prophages on the validation datasets. The option of skipping similarity matching is also available so that there's higher chance for novel phages to be discovered. Prophage Hunter provides a one-stop web service to extract prophage genomes from bacterial genomes, evaluate the activity of the prophages, identify phylogenetically related phages, and annotate the function of phage proteins. Prophage Hunter is freely available at https://pro-hunter.bgi.com/.

Original languageEnglish
Pages (from-to)W74-W80
JournalNucleic Acids Research
Volume47
Issue numberW1
DOIs
StatePublished - 1 Jul 2019
Externally publishedYes

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